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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Manager, Data Governance Platforms - **Company:** The Coca-Cola Company - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Salary:** $152,000.0 - $178,300.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Profiling, Information Systems, Data Cleansing, Data Discovery, Information Engineering, Data Governance, Data Profiling, Issue Tracking Systems, Knowledge Management, Machine Learning, Metadata, Meta-Data Management, Metadata Repositories, Reference Data, Power BI, Systems Integration, Enterprise Data Management, Data Layers, Information Technology, Data Lineage, Data Management - **Published:** August 6, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5817e91b513cb616 ## About the Role * Bachelor's degree or equivalent experience in a relevant field (Computer Science, Information Systems, Data, Engineering, Business) * Advanced degree (MBA, Master's in Data/Technology-related field) preferred Related Work Experience * 3-5 years of experience in product management, platform management, or related disciplines * Proven experience delivering platform-based solutions serving multiple teams or domains * Strong experience in data platforms, data governance, or enterprise data ecosystems * Experience working with capabilities such as data catalogs, lineage, data quality, or metadata management * Exposure to AI/ML-driven products or intelligent automation use cases * Experience leading product teams and influencing cross-functional stakeholders Skills Platform & Technical * Strong platform product management mindset (scalability, reuse, extensibility) * Deep understanding of enterprise data governance concepts and tooling * Familiarity with: * Data catalogs and metadata platforms (MS Purview) * Data lineage and data quality tools (MS Purview, MS PowerBI) * Semantic layers, ontologies, and graph technologies (MS Fabric) * AI/ML applications in data management and governance (MS Fabric) * Ability to translate complex technical concepts into clear product strategies Leadership & Business * Strategic thinking with ability to operate across enterprise-level complexity * Strong stakeholder management and influencing skills * Ability to align diverse teams around shared platforms and standards * Excellent communication and storytelling capabilities * Strong prioritization and decision-making in ambiguous environments ## Description Platform Strategy & Ownership * Support the Governance Technology Enablement leader to deliver the vision, strategy, and roadmap for the Enterprise Data Governance Platforms * Build forward-thinking, scalable, reusable platform capabilities that serve multiple data domains across the enterprise * Establish success metrics focused on platform adoption, data usability, governance maturity, and business impact * Ensure platform capabilities are interoperable, extensible, and aligned to enterprise data and technology strategy Core Platform Capabilities Ownership Own and evolve a portfolio of data governance platform capabilities, including: * Enterprise Data Catalog & Metadata Management * Deliver and evolve processes and capabilities that enable the enterprise data catalog, business glossary, and metadata ecosystem * Governance Workflow & Ticketing Systems * Oversee platforms supporting data governance processes such as access requests, issue management, and stewardship workflows * Knowledge Management & Governance Enablement * Deliver tools and experiences that enable documentation, standards adoption, and governance knowledge sharing * Data Governance Automation * Identify and implement automation opportunities to streamline governance processes, reduce manual effort, and improve scalability * AI & Intelligent Governance Capabilities * Lead development of AI-driven use cases and agent-based solutions to enhance data discovery, stewardship, and decision-making * Data Modeling & Semantic Layer Enablement * Define and support scalable semantic models that standardize and simplify data consumption across domains * Data Ontology & Graph Enablement * Drive ontology development and graph-based capabilities to enable advanced relationships, discoverability, and insights * Data Quality & Profiling * Ensure platform capabilities support data profiling, monitoring, and quality management at scale * Data Lineage & Traceability * Develop end-to-end data lineage capabilities to provide transparency, traceability, and impact analysis Cross-Functional Collaboration * Partner with Data Governance, Data Engineering, Analytics, AI/ML, and business domain teams to align on platform priorities and adoption * Ensure platform capabilities support consistent use of master and reference data across domains * Collaborate with enterprise architecture to align on standards, integrations, and scalability Platform & Delivery Excellence * Lead platform discovery and evolution through user research, usage data, and stakeholder feedback * Translate complex governance and data requirements into scalable platform features and services * Partner with engineering and architecture teams to deliver robust, secure, and performant solutions * Monitor platform performance, adoption, and outcomes to drive continuous improvement ## 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